Point Cloud Processing and 3D Visualization with QGIS

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Hans van der Kwast

1:32:48

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1. Introduction

1.1 GIS OpenCourseWare.html

1.2 IHE Delft Institute for Water Education.html

1.3 My YouTube channel.html

1.4 QWAST-GIS.html

1. Introduction.mp4

04:13

2.1 YouTube playlist for troubleshooting your QGIS installation.html

2. Install QGIS.mp4

02:21

2. Theory of Point Cloud Data

1.1 GDAL.html

1.2 MDAL.html

1.3 Native point cloud processing in QGIS.html

1.4 PDAL.html

1.5 Previous crowdfunding for point cloud support in QGIS.html

1. Theory of Point Cloud Data.mp4

07:36

2. Theory of Point Cloud Data.html

3. Download and Preprocess Point Cloud Data

1.1 Examples of remote data sources from the QGIS 3.20 visual changelog.html

1.2 GeoTiles.NL.html

1.3 List of point cloud sources. Also check additional ones in the comments..html

1.4 OpenTopography.html

1. Point Cloud Data Sources.mp4

04:28

2.1 Direct link to GeoTiles new server.html

2.2 GeoTiles.NL.html

2. Download Point Cloud Data and Load in QGIS.mp4

02:24

3. Check Point Cloud Properties.mp4

01:25

4. Point cloud properties.html

5.1 Blog on Virtual Point Clouds in QGIS.html

5. What is a Virtual Point Cloud (VPC) layer.mp4

03:08

6. Build a Virtual Point Cloud Layer.mp4

03:39

7. Clip Point Cloud Data.mp4

03:49

8. Create a COPC Layer.mp4

01:22

9. Assign a Projection to a Point Cloud Layer.mp4

01:34

4. Interpolate Point Cloud Data

1.1 GISGEOGRAPHY blog on IDW.html

1.2 Spatial interpolation explained by QGIS.html

1.3 Spatial interpolation with IDW explained by Geodose.html

1.4 YouTube tutorial on 3D Tiles and the Cesium Ion plugin in QGIS.html

1.5 YouTube video on Elevation Models in GIS.html

1. Introduction to Interpolation of Point Cloud Data.mp4

03:35

2. Interpolate with IDW.mp4

03:21

3. Interpolate Voids.mp4

01:18

4. Interpolate with TIN.mp4

01:52

5. Interpolations.html

5. Visualize point cloud data

1. Introduction to Visualization of Point Cloud Data.mp4

00:20

2. Create Map Themes.mp4

01:30

3. Compare Two 2D Map Views.mp4

01:43

4.1 YouTube video on the Elevation Profile tool.html

4. The Elevation Profile Tool.mp4

06:03

5. Using the 3D Map View.mp4

08:55

6. Show me a nice 3D result.html

6. Filter Point Cloud Data

1. Introduction to Filtering Point Cloud Data.mp4

00:20

2. Check the statistics of point cloud attributes.mp4

04:43

3. Filter point clouds with the classification attribute.mp4

02:17

4. Filter point clouds using expressions.mp4

03:46

5. Using filters in other QGIS point cloud tools.mp4

00:32

6. Filter trees.html

7. Automate point cloud processing with PDAL wrench

1.1 Learn the command line interface commands.html

1.2 PDAL wrench commands.html

1. Setup PDAL wrench.mp4

03:19

2.1 PDAL wrench commands.html

2. Create a VPC from tiles using PDAL wrench.mp4

01:40

3.1 PDAL wrench commands.html

3. Clip a VPC with a polygon layer using PDAL wrench.mp4

01:32

4.1 PDAL wrench commands.html

4.2 This video shows how to apply TIN interpolation with PDAL wrench and also the other commands.html

4. Interpolate with IDW using PDAL wrench.mp4

01:28

5.1 PDAL wrench commands.html

5. Merge point cloud tiles using PDAL wrench.mp4

01:43

6.1 PDAL wrench commands.html

6. Clip a LAZ file with a polygon layer using PDAL wrench.mp4

01:13

7.1 PDAL wrench commands.html

7. Filter a LAZ file using an expression with PDAL.mp4

02:00

8. Automate point cloud processing with PDAL wrench.mp4

03:05

9. Automate filtering.html

8. Conclusion

1. Thanks for following this course!.mp4

00:34

Description

Unlock the potential of point cloud data in QGIS with its new processing tools, 3D rendering features and PDAL wrench.

What You'll Learn?

Define point cloud data
Find point cloud data sources and tools
Create and use Virtual Point Clouds (VPC)
Interpolate point cloud data to raster
Visualize point cloud data in 2D and 3D
Filter point cloud data
Automate point cloud processing with PDAL wrench

Who is this for?

The course is suitable for GIS specialists who want to explore the potential of point cloud data for spatial analysis and visualization

Urban planners

Students

Academics

Researchers

What You Need to Know?

Good computer skills, basic knowledge of the command line

The course assumes that the participants have some basic knowledge of QGIS and GIS concepts, but no prior experience with point cloud data is required.

You'll need QGIS 3.34 or newer. The course provides installation instructions for Microsoft Windows only. Installation for other operating systems is not covered by the course.

For this course you need to have a computer with a good graphics card. 16 GB RAM and a large hard disk are recommended.

More details

Description
Welcome to this course on point cloud processing and 3D visualization with QGIS!
If you are a QGIS user who is eager to improve your skills by learning how to handle point cloud data, this course is for you.
In this course you will learn how to:
Download and preprocess point cloud data from various sources
Interpolate point cloud data to create digital elevation models and other raster products
Visualize point cloud data in 3D using the QGIS 3D view and Elevation Profile tool
Filter point cloud data
Automate point cloud processing workflows using PDAL wrench
The course is structured into 8 sections, each containing videos, quizzes, and assignments to help you master the concepts and techniques. You will use only open data and QGIS throughout the course. By the end of the course, you will have a solid foundation in point cloud processing and 3D mapping, and you will be able to create stunning 3D scenes of your study area!
I assume that you are a Windows user. All instructions are for Windows. If you're using another operating system and get stuck, you need to find solutions on the internet.
I hope you are excited to join this course and discover the power of QGIS and point clouds. To get a glimpse of what you will learn, please watch the course promo video and check out the free previews. I canâ€™t wait to see you on the course!
Who this course is for:
The course is suitable for GIS specialists who want to explore the potential of point cloud data for spatial analysis and visualization
Urban planners
Students
Academics
Researchers

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Hans van der Kwast has more than 20 years of experience with GIS and Remote Sensing in education and projects, offering consultancy, training and coaching in open source GIS. He is an active member in the QGIS community, a QGIS certified trainer, OSGeo charter member and board member of the Dutch QGIS User Group.Hans established the GIS OpenCourseWare platform for sharing free course materials on QGIS, Python, Google Earth Engine and much more. The PCRaster Tools plugin for QGIS that he’s developed has been downloaded more than 40k times. Hans is also a co-author of the book QGIS for Hydrological Applications and has a YouTube Channel with more than 25k subscribers. As a member of QCooperative, he is well connected with the best open source GIS developers.

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